AKPE IN TEXT MINING: AUTOMATIC KEYPHRASE EXTRACTION FROM DOCUMENT USING UNSUPERVISED TECHNIQUES - Baruni J S
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Saadetis 15-21 tööpäeva jooksul
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This research, "Automatic Keyphrase Extraction from Document using Unsupervised Techniques," describes machine learning algorithms that assist in identifying the Keyphrase from a statement that the user inputs and in setting a reminder using the Keyphrase. The Automatic Keyphrase Extraction Algorithm (AKPE) is help to draw out a Keyphrase from a text effectively, which minimizes the potential for human mist ... Täielik kirjeldus
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Kirjeldus
This research, "Automatic Keyphrase Extraction from Document using Unsupervised Techniques," describes machine learning algorithms that assist in identifying the Keyphrase from a statement that the user inputs and in setting a reminder using the Keyphrase. The Automatic Keyphrase Extraction Algorithm (AKPE) is help to draw out a Keyphrase from a text effectively, which minimizes the potential for human mistake and saves time, in order to overcome the difficulties in traditional ways to extract key Keyphrase from a big corpus, which mainly rely on human labor.
Lisateave
| Autor | Baruni J S |
|---|---|
| Kirjastaja | LAP LAMBERT Academic Publishing |
| Väljalaskeaasta | 2023 |
| Kaanetüüp | Pehme kaanega |
| EAN | 9786206158561 |